Neural Mechanisms for Interacting with a World Full of Action Choices
Abstract
The neural bases of behavior are often discussed in terms of perceptual, cognitive, and motor stages, defined within an information processing framework that was originally inspired by models of human abstract problem solving. Here, we review a growing body of neurophysiological data that is difficult to reconcile with this influential theoretical perspective. As an alternative foundation for interpreting neural data, we consider frameworks borrowed from ethology, which emphasize the kinds of real-time interactive behaviors that animals have engaged in for millions of years. In particular, we discuss an ethologically-inspired view of interactive behavior as simultaneous processes that specify potential motor actions and select between them. We review how recent neurophysiological data from diverse cortical and subcortical regions appear more compatible with this parallel view than with the classical view of serial information processing stages.
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The phylogenetic progression from primitive homeostatic control to goal-directed control rests on the hierarchical elaboration of more primitive architectures.
“This phylogenetic progression rests on the hierarchical elaboration of more primitive architectures (Cisek and Kalaska, 2010, Pezzulo and Castelfranchi, 2009).”
From Active Inference, homeostatic regulation and adaptive behavioural control (2015) · cites this paper as Cisek and Kalaska, 2010
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Deliberation and Commitment in the Premotor and Primary Motor Cortex during Dynamic Decision Making
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Secondary Motor Cortex: Where ‘Sensory’ Meets ‘Motor’ in the Rodent Frontal Cortex
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Decoding Action Intentions from Preparatory Brain Activity in Human Parieto-Frontal Networks
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Mechanisms of Identity Conflict
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“…in LIP and other oculomotor areas suggests that the motor system is not recruited once a decision is made but instead receives a continuous flow of partial information—an evolving decision variable (Gold and Shadlen, 2007; McKinstry et al., 2008; Cisek and Kalaska, 2010; Selen et al., 2012).”
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- Authors
- Cisek, P., & Kalaska, J. F.
- Affiliations
- Université de Montréal (CA)
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2010-06-01
- Volume
- 33
- Issue
- 1
- Pages
- 269-298
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2118125647
- Cited by
- 1,543
- References
- 212
- Citations by year
- 2026: 98 · 2025: 109 · 2024: 97 · 2023: 105 · 2022: 114 · 2021: 109 · 2020: 139 · 2019: 96 · 2018: 92 · 2017: 81 · 2016: 101 · 2015: 108 · 2014: 103 · 2013: 77 · 2012: 59
- FWCI
- 4.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- neural mechanisms of behavior, ethology, interactive behavior, action selection, parallel computing, neurophysiology, cortical and subcortical regions, animal behavior
- MeSH terms
- Animals, Behavior, Cognition, Decision Making, Humans, Movement, Neural Pathways, Neurons, Psychomotor Performance
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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